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Human Activity Recognition using TensorFlow | Human Pose Detection.

Suspicious Activity Detection using Machine Learning Abnormal activity recognition and its detection becomes a major task in surveillance videos. From the context of security purposes, that it becomes more challenging to identify the suspicious events or activities in video surveillance. Surveillance closely observes, monitors and identify the behaviour of any object like people, suspicious thing […]

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Suspicious Activity Detection using Machine Learning | Abnormal Activity Detection Project

Suspicious Activity Detection using Machine Learning In security systems anomaly activity detection is one among them. Surveillance cameras have been setup widely for video analysis due to increasing demand for security. Video footages are captured and stored in memory devices. Several places or organization have installed CCTV Cameras for continuous monitoring for surveillance. It is

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Abnormal Activity Detection using Deep Learning | Final Year Major Project for CSE

Suspicious Activity Detection using Deep Learning Abnormal Activity Detection is a crucial monitoring which is used to record anomalous human behavior without human efforts, the model has the ability to automatically take input video and live surveillance suspicious activity. The main objective is to automatically identify and mark occurrences that need human attention using Machine

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Depression Detection System using Python

Depression Detection using Machine Learning In recent years, Integration of machine learning (ML) and Artificial Intelligence (AI) techniques have given potential in various domains, including medical health. This project is about a novel or different approach “Artificial Intelligence based Facial Emotions Analysis for Depression Detection”, focused about deep learning and artificial intelligence to detect and

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Driver Drowsiness Detection System using Machine Learning

Driver Drowsiness Detection and Alert System using Python Drowsiness Detection with Neural Networks introduces a life-saving application that focuses on preventing accidents caused by drowsy driving. Leveraging neural networks, the system analyzes facial features and eye movement patterns to detect signs of driver drowsiness. Real-time alerts are triggered when the system identifies potential fatigue, prompting

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Lung Cancer Detection using Machine Learning

Lung Cancer Detection using CT Scan Images The Lung Cancer Detection project utilizes neural networks to analyze medical imaging data for the early identification of lung cancer. By processing CT scans or X-rays, the system assists healthcare professionals in detecting abnormalities and potential cancerous nodules. The neural networks enhance diagnostic accuracy, enabling timely intervention and

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Accident Detection and Alert System using Machine Learning

Accident Detection and Alert System using Python Accurate and timely accident detection can significantly reduce emergency response times, potentially saving lives and reducing the severity of injuries. Traditional methods for accident detection often rely on human eyewitnesses or manual monitoring of surveillance cameras, which can be slow and unreliable. In contrast, ML techniques have powerful

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American Sign Language to Text Conversion with Voice Output

Sign Language to Text Conversion with Voice Output The Sign language is a visual language used by the people with the speech and hearing disabilities for communication in their daily conversation activities. It is completely an optical communication language through its native grammar, be unlike fundamentally from that of oral languages. In this research paper,

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Airline Reservation System Project in Python

Airline Reservation System Project in Python with MySQL Database Airline Reservation System is a computer programming software that allow an airline to sell their seats and book flights. It contains database of reservation including passenger records and flight details and ticket issued.  Airline reservation system incorporates airline schedules, passenger reservation, fare tariff’s and ticket records.

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